LLM Comparison

Gemini 3.8 Flash vs LongCat 2.0: benchmark scores, pricing & comparison.

Side-by-side Gemini 3.8 Flash vs LongCat 2.0 comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Verdict: Gemini 3.8 Flash ranks higher (#14 vs #63) and wins 3 of 3 shared benchmarks; LongCat 2.0 costs less ($0.75/$2.95 vs $1.50/$7.50 per 1M tokens).

Rank #14 vs #63AskClash overall scores 62.6 vs 30.9.
Pricing $1.50/$7.50 vs $0.75/$2.95Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightGoogle vs Meituan.

Gemini 3.8 Flash vs LongCat 2.0 benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

MetricGemini 3.8 FlashLongCat 2.0
Overall Score62.630.9
Leaderboard Rank#14#63
ACB64.2—
HLE54.933.7
GPQA95.388.9
IFEval—90.0
SWE-Pro—59.5
Terminal-Bench19.7—
DeepSWE73.8—
GDPval-AA1545.0869.8
Finance Agent61.4—
CharXiv86.2—
MMMU-Pro85.6—
ARC-AGI 289.2—
Tau2—88.2
Input Price (per 1M tokens)$1.50$0.75
Output Price (per 1M tokens)$7.50$2.95
Context Window1M1M
Benchmarks Published137

Gemini 3.8 Flash vs LongCat 2.0 head-to-head charts

Gemini 3.8 Flash leads 4 and LongCat 2.0 leads 0 of 4 shared benchmarks. LongCat 2.0 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Gemini 3.8 FlashLongCat 2.0
Overall
62.6Gemini 3.8 Flash
30.9LongCat 2.0
HLE
54.9Gemini 3.8 Flash
33.7LongCat 2.0
GPQA
95.3Gemini 3.8 Flash
88.9LongCat 2.0
GDPval-AA
1545.0Gemini 3.8 Flash
869.8LongCat 2.0
Gemini 3.8 Flash
Input$1.50
Output$7.50
Workload$3.00
Context1M
LongCat 2.0
Input$0.75
Output$2.95
Workload$1.34
Context1M

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More Gemini 3.8 Flash and LongCat 2.0 comparisons

Explore how Gemini 3.8 Flash and LongCat 2.0 stack up against other top-ranked LLMs.

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.